Data Engineer azure
Havant
KEY ACCOUNTABILITIES
- Work within the GTS Data Services team using a professional and recognised lifecycle approach covering analysis, planning, design, development, testing, deployment, and maintenance.
- Be involved in the design, engineering, improvement and productionzation of enterprise level data solutions using appropriate Azure data related resources including Azure Data Factory and Azure Databricks
- Use provided business requirements to engineer appropriate data driven solutions.
- Use the central and GTS Data Services' standards to ensure appropriate code quality and that agreed patterns and practices are being followed.
- Produce appropriate test scripts.
- Be involved in unit and integration testing.
- Assist other data professionals (data scientists, data analysts and other data consumers).
- Be involved with the creation and maintenance of a curated data model for use by data professionals.
- Perform data profiling and data quality measurements.
- Comply with data governance and SSE Security Standards.
- Ensure CI/CD best practice are followed for transition of solutions from development, through testing, into production following an appropriate change control mechanism.
- Support solutions in production.
- Proactively suggest improvements to solutions.
- Be involved with any prototyping / discovery work (and transition these to formal development and thus production supported solutions as appropriate).
- Help promote a better understanding of data and analytics across business stakeholders.
- Work with key business stakeholders, IT experts and subject-matter experts to plan and deliver optimal analytics and data science solutions, promote effective data management practices, and improve understanding of data and analytics.
- Help protect SSE from cyberattack and data loss by following standards and instructions and by reporting risks and incidents.
- critical systems in a medium/large organisation.
- extensive experience in developing and maintaining solutions.
- fully conversant with agile
- Business Knowledge
- Display a solid understanding of the SSE business area relevant to where the design will be applied.
- Understanding the 'what' and the 'why' behind requirements and strategy to ensure that solutions being engineered fulfil their purposes and deliver value.
- Be aware and query non-functional, as well as functional needs.
- Experience working with a diverse set of stakeholders to achieve business deliveries.
- Understanding of data integrity, data protection and data security threats.
- Relevant Professional Qualification and/or Undergraduate Degree.
- Excellent technical computing, analysis, design, and development skills to a proven professional level.
- Experience from a similar support or development role in supporting business concepts as applied to data driven analytics projects.
- Experience with designing, building, and operating analytics solutions using Azure cloud technologies.
- Understanding of the full software development life cycle and ability to apply it to complex projects.
- Data management, engineering, and analysis experience
- Experience in automated data driven testing and analysis.
- Building and maintaining ETL processes
- Data visualisation/ exploration
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